RUN_COMMAND="uv run python examples/run_grpo_math.py \
    --config examples/configs/grpo_math_8B.yaml \
    policy.model_name="Qwen/Qwen2.5-32B" \
    policy.generation.vllm_cfg.tensor_parallel_size=4 \
    policy.max_total_sequence_length=16384 \
    policy.dtensor_cfg.enabled=true \
    policy.dtensor_cfg.tensor_parallel_size=8 \
    policy.dtensor_cfg.context_parallel_size=2 \
    policy.dtensor_cfg.sequence_parallel=true \
    policy.dtensor_cfg.activation_checkpointing=true \
    policy.dynamic_batching.enabled=true \
    policy.dynamic_batching.train_mb_tokens=16384 \
    policy.dynamic_batching.logprob_mb_tokens=32768 \
    checkpointing.enabled=false \
    logger.wandb_enabled=true \
    logger.tensorboard_enabled=false \
    logger.monitor_gpus=true \
    logger.wandb.project=${PROJECT_NAME} \
    logger.wandb.name=${EXP_NAME} \
    cluster.num_nodes=16 \
    cluster.gpus_per_node=8"

ray::DTensorPolicyWorker.train() (pid=2937548, ip=10.65.25.21, actor_id=75a6681698e862c3c537dc5501000000, repr=DTensorPolicyWorker[rank=117])
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/fs1/portfolios/coreai/users/yukih/NeMo-RL/code_snapshots_Qwen2.5-32B-tp8cp2-233cfca4-0710/nemo_rl/models/policy/dtensor_policy_worker.py", line 544, in train
    outputs = self.model(
              ^^^^^^^^^^^
  File "/opt/ray_venvs/nemo_rl.models.policy.dtensor_policy_worker.DTensorPolicyWorker/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/ray_venvs/nemo_rl.models.policy.dtensor_policy_worker.DTensorPolicyWorker/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1857, in _call_impl
    return inner()
           ^^^^^^^
  File "/opt/ray_venvs/nemo_rl.models.policy.dtensor_policy_worker.DTensorPolicyWorker/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1805, in inner
    result = forward_call(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/ray_venvs/nemo_rl.models.policy.dtensor_policy_worker.DTensorPolicyWorker/lib/python3.12/site-packages/transformers/utils/generic.py", line 969, in wrapper
    output = func(self, *args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/ray_venvs/nemo_rl.models.policy.dtensor_policy_worker.DTensorPolicyWorker/lib/python3.12/site-packages/transformers/models/qwen2/modeling_qwen2.py", line 703, in forward
    outputs: BaseModelOutputWithPast = self.model(
                                       ^^^^^^^^^^^
  File "/opt/ray_venvs/nemo_rl.models.policy.dtensor_policy_worker.DTensorPolicyWorker/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/ray_venvs/nemo_rl.models.policy.dtensor_policy_worker.DTensorPolicyWorker/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/ray_venvs/nemo_rl.models.policy.dtensor_policy_worker.DTensorPolicyWorker/lib/python3.12/site-packages/transformers/utils/generic.py", line 969, in wrapper
    output = func(self, *args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/ray_venvs/nemo_rl.models.policy.dtensor_policy_worker.DTensorPolicyWorker/lib/python3.12/site-packages/transformers/models/qwen2/modeling_qwen2.py", line 426, in forward
    position_embeddings = self.rotary_emb(hidden_states, position_ids)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/ray_venvs/nemo_rl.models.policy.dtensor_policy_worker.DTensorPolicyWorker/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/ray_venvs/nemo_rl.models.policy.dtensor_policy_worker.DTensorPolicyWorker/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1857, in _call_impl
    return inner()
           ^^^^^^^
  File "/opt/ray_venvs/nemo_rl.models.policy.dtensor_policy_worker.DTensorPolicyWorker/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1794, in inner
    args_result = hook(self, args)
                  ^^^^^^^^^^^^^^^^
  File "/opt/ray_venvs/nemo_rl.models.policy.dtensor_policy_worker.DTensorPolicyWorker/lib/python3.12/site-packages/torch/distributed/tensor/_api.py", line 937, in <lambda>
    lambda mod, inputs: input_fn(mod, inputs, device_mesh)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/lustre/fs1/portfolios/coreai/users/yukih/NeMo-RL/code_snapshots_Qwen2.5-32B-tp8cp2-233cfca4-0710/nemo_rl/models/dtensor/parallelize.py", line 65, in _prepare_input_fn
    raise ValueError(
ValueError: Failed to shard tensor for sequence parallelism. Local Shape is (torch.Size([1, 1003, 5120])) at rank 117. Different TP ranks must have the same shape. Original error: Inconsistent tensor metadata (including shape and stride) across ranks.